Paper Info
Title
Eye-Gaze With Predictive Link Following Improves Accessibility as a Mouse Pointing Interface.
Abstract
We propose a target-aware pointing approach to address one predominant problem in using eye-controlled mouse replacement software: the lack of high-precision movement. Our approach is based on Predictive Link Following, which alleviates the difficulties with link selection when using mouse replacement interfaces by predicting which link should be clicked based on the proximity of the cursor to the link. For cursor control via eye movement, an eye tracking algorithm was implemented using the Tobii EyeX device to detect and translate gaze location to screen coordinates. We conducted an experement comparing eye-gaze controlled mouse pointing with and without the Predictive Link following approach. Our results demonstrate increased accuracy of our system compared to just using eye-controlled mouse pointing.
Year
DOI
Venue
2016
10.1145/2982142.2982208
ASSETS
Keywords
Field
DocType
Accessibilty,Mouse Replacement Interfaces,Eye-gaze Interfaces,Target-Aware Pointing
Computer vision,Gaze,Computer science,Software,Eye tracking,Human–computer interaction,Eye movement,Artificial intelligence,Cursor (user interface)
Conference
Citations 
PageRank 
References 
2
0.50
4
Authors
3
Name
Order
Citations
PageRank
Jason Vazquez-Li120.50
Lyle Pierson Stachecki220.83
John J. Magee39712.08